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2020 – today
- 2024
[j4]Siqing Sun
, Tianbo Li, Xiao Chen, Huachao Dong, Xinjing Wang:
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning. Appl. Soft Comput. 164: 111968 (2024)- [i4]Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale:
Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory. CoRR abs/2411.05033 (2024) - 2023
- [c9]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023 - [c8]Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin:
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. ICML 2023: 8565-8584 - [i3]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR abs/2303.00399 (2023) - [i2]Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin:
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. CoRR abs/2305.02164 (2023) - 2021
- [b1]Tianbo Li:
Advanced hawkes processes for practical event sequence analysis : models and accelerations. Nanyang Technological University, Singapore, 2021 - [c7]Yaqing Hou, Tianbo Li, Qiang Zhang, Hua Yu, Hongwei Ge:
Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training. IJCNN 2021: 1-7 - [c6]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. KDD 2021: 986-994 - [i1]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. CoRR abs/2107.03354 (2021) - 2020
- [c5]Tianbo Li, Yiping Ke:
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. AAAI 2020: 4699-4706 - [c4]Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong:
Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. KDD 2020: 2625-2635
2010 – 2019
- 2019
- [j3]Gaolei Fei, Tianbo Li, Guangmin Hu:
Time-varying network link loss rate tracking from unicast end-to-end measurements. Int. J. Commun. Syst. 32(14) (2019) - [j2]Hong-Jun Ma, Yanli Liu, Tianbo Li, Guang-Hong Yang:
Nonlinear High-Gain Observer-Based Diagnosis and Compensation for Actuator and Sensor Faults in a Quadrotor Unmanned Aerial Vehicle. IEEE Trans. Ind. Informatics 15(1): 550-562 (2019) - [c3]Tianbo Li, Yang Yang, Yonggan Liu, Yongjian Zhao, Yan Peng, Jun Ke, Yuyi Zhai:
An Active Steering Soft Robot for Small-Bore T-Branch Pipeline. ICIRA (2) 2019: 556-567 - [c2]Tianbo Li, Yiping Ke:
Thinning for Accelerating the Learning of Point Processes. NeurIPS 2019: 4093-4103 - 2018
- [c1]Tianbo Li, Pengfei Wei, Yiping Ke:
Transfer Hawkes Processes with Content Information. ICDM 2018: 1116-1121 - 2014
- [j1]Tianbo Li, Ershi Qi, Yimin Huang:
Grey clustering evaluation based on triangular whitenization weight function of enterprise's management innovation performance. Grey Syst. Theory Appl. 4(3): 436-446 (2014)
Coauthor Index
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